Practical Course: Big Data Analytics - Development of Innovative Applications at the Example of SAP HANA (IN2128, IN2106, IN212802)
Entwicklungspraktikum: Big Data Analytics - Entwicklung innovativer Anwendungen auf Basis von SAP HANA (IN2128, IN2106, IN212802)
Course 0000000661 in WS 2016/7
General Data
| Course Type | practical training |
|---|---|
| Semester Weekly Hours | 6 SWS |
| Organisational Unit | Informatics 17 - Chair of Information Systems and Business Process Management (Prof. Rinderle-Ma) |
| Lecturers |
Responsible/Coordination: Helmut Krcmar |
| Dates |
Assignment to Modules
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IN2106: Master-Praktikum / Advanced Practical Course
This module is included in the following catalogs:- Further Modules from Other Disciplines
Further Information
Courses are together with exams the building blocks for modules. Please keep in mind that information on the contents, learning outcomes and, especially examination conditions are given on the module level only – see section "Assignment to Modules" above.
| additional remarks | High performance in-memory appliances might have a huge impact on enterprises information systems. Today most companies are using ERP systems for transactional data and data warehouse systems for reporting. Data is copied from the ERP to the data warehouse system in periodic batch jobs. Learn in this class how in-memory technologies realize high performance data processing using efficient technologies such as row and column storage, partitioning, compression, multithreading and special indexing. In addition you will conduct practical exercises with SAP HANA. In a first step you will load data into the database and analyse it with Business Object tools. Furthermore, you will get in touch with SAP Predictive Analysis, the data mining tool based on HANA as well as with visualising data with SAPUI5. Again, some practical exercises will help you to understand the theoretical basis. After the lecture part with exercises, you will first work on an individual homework before than work on a practical task in groups for a couple of weeks. |
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| Links |
E-Learning course (e. g. Moodle) TUMonline entry |